Features
Deterministic CodeHealth feedback for AI coding assistants
Local execution for full control and data privacy
Model-agnostic support for any AI assistant or agent
Self-correcting feedback loop for real-time quality improvement
Multi-language support (30+ programming languages)
Technical debt detection and prioritization
Automated code review integration
IDE extensions for real-time prevention
Quality gates for AI coding
Behavioral code analysis beyond static analysis
Code coverage analysis on high-risk areas
Agentic refactoring from pull requests
Token usage optimization (up to 45% savings)
Reduces defect risk by 60%
6x more accurate on maintainability vs SonarQube
Multi-agent orchestration (multiple AI agents)
File editing via VS Code extension
Terminal control and command execution
Git integration for version-aware assistance
Autonomous mode (coming soon)
Advanced task routing rules
Local processing for privacy
Customizable model deployment
